Gui Yang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
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- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 2
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- Immune cells in cancer 2
- interferon and immune responses 2
- Co-authors
- Yunbao Pan (4 shared papers)Yueting Tang (4 shared papers)Shuang Guo (3 shared papers)Yirong Li (4 shared papers)Junli Fan (3 shared papers)Xinran Li (2 shared papers)Yinjuan Liu (2 shared papers)Heng Fan (7 shared papers)
In The Last Decade
Gui Yang
18 papers receiving 829 citations
Gui Yang's Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 395
- Neurology 76
- Modeling and Simulation 21
- Immunology 84
- Biological Psychiatry 9
Countries citing papers authored by Gui Yang
This map shows the geographic impact of Gui Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui Yang more than expected).
Fields of papers citing papers by Gui Yang
This network shows the impact of papers produced by Gui Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gui Yang. The network helps show where Gui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 278 | |
| 2 | Berberine ameliorates DSS-induced intestinal mucosal barrier dysfunction through microbiota-dependence and Wnt/β-catenin pathway Hit paper breakdown → | 2022 | 145 |
| 3 | 2020 | 116 | |
| 4 | 2020 | 52 | |
| 5 | 2020 | 45 | |
| 6 | 2022 | 42 | |
| 7 | 2021 | 29 | |
| 8 | 2024 | 29 | |
| 9 | 2020 | 25 | |
| 10 | 2022 | 24 | |
| 11 | Probiotics enhance the effect of allergy immunotherapy on regulating antigen specific B cell activity in asthma patients. | 2016 | 19 |
| 12 | 2021 | 13 | |
| 13 | 2025 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Gui Yang
Gui Yang is a scholar working on Infectious Diseases, Immunology, Cancer Research, Pharmacology and Internal Medicine, having authored 22 papers that have together received 842 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Asthma and respiratory diseases (2 papers), SARS-CoV-2 detection and testing (2 papers), Immune cells in cancer (2 papers), Berberine and alkaloids research (2 papers), interferon and immune responses (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (395 citations), Neurology (76 citations), Modeling and Simulation (21 citations), Immunology (84 citations) and Biological Psychiatry (9 citations). Gui Yang has collaborated with scholars based in China, Hong Kong and Russia. Frequent co-authors include Yunbao Pan, Yueting Tang, Shuang Guo, Yirong Li, Junli Fan, Xinran Li, Yinjuan Liu, Heng Fan, Hanning Hu and Xinghua Long. Their work appears in journals such as International Journal of Biological Sciences, Frontiers in Medicine, Cell Communication and Signaling, BMC Infectious Diseases and Aging.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.